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Turkish Male TTS Model Glow Tts Encoding Trained on Common Voice Dataset at 22050Hz

Turkish (Türkçe) male text-to-speech model trained at 22050 Hz and is available to synthesize the Turkish language.

Turkish (Türkçe) male text-to-speech model trained at 22050 Hz and is available to synthesize the Turkish language.

Model Description

This Turkish (Türkçe) male text-to-speech model is trained on the the Common Voice dataset at 22050 Hz and is available to synthesize the Turkish language. The model is based on the Glow-TTS encoder.

pip install tts
tts --text "Hello, world!" --model_name tts_models/tr/common-voice/glow-tts

Voice Samples

default (M)

Turkish (Türkçe)

Turkish is a Turkic language spoken primarily in Turkey and Cyprus. It is a member of the Oghuz branch of the Turkic language family. Turkish has a phonetic system with eight vowels and 21 consonants. It uses the Latin alphabet with diacritic marks to represent specific sounds. Turkish has a rich cultural heritage and is known for its historical contributions to art, architecture, and literature.

Glow-TTS

Glow-TTS is an advanced technology used for training audio models, specifically for text-to-speech synthesis. It stands for Glow: Generative Flow for Text to Speech. Glow-TTS leverages the power of deep learning and generative models to transform written text into natural and high-quality speech. By employing complex neural network architectures, Glow-TTS learns the intricate relationships between text and corresponding speech patterns. This enables it to generate speech that sounds remarkably human-like, with clear enunciation, natural prosody, and convincing emotional nuances. Glow-TTS breaks down the complexities of speech generation into a sequence of mathematical operations, making it easier for machines to learn and mimic the intricate nature of human speech. The technology has numerous applications, including voice assistants, automated voiceovers, interactive systems, and more, where realistic and expressive speech synthesis is required.

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